Triple
T4316181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaiziņkalns |
E96396
|
entity |
| Predicate | natureReserveStatus |
P40017
|
FINISHED |
| Object | protected landscape area |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: protected landscape area | Statement: [Gaiziņkalns, natureReserveStatus, protected landscape area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: natureReserveStatus Context triple: [Gaiziņkalns, natureReserveStatus, protected landscape area]
-
A.
natureReserveSince
Indicates that an area has held the legal or official status of a nature reserve since a specified point in time.
-
B.
countryProtectedAreaSystem
Indicates that a country has an established system or network of designated protected areas under its jurisdiction.
-
C.
containsNatureReserve
Indicates that one entity geographically includes or encompasses a designated nature reserve within its boundaries.
-
D.
situatedInProtectedArea
chosen
Indicates that an entity is located within the boundaries of a designated protected area (such as a reserve, park, or conservation zone).
-
E.
conservationStatus
Indicates the level of risk or protection category assigned to an entity, typically reflecting how threatened it is with extinction or decline.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69b345422aac81909ddbadae437d122e |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b350f60dfc819098202b7eb3bbf402 |
completed | March 12, 2026, 11:49 p.m. |
| PD | Predicate disambiguation | batch_69b34f4a07b08190a06ada0d9cbb14fb |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:12 p.m.